Research Method for Numerical Simulation on Upper Respiratory Tract Airway State Based on 3D Printing and CT Reconstruction
10.16156/j.1004-7220.2020.03.05
- VernacularTitle:基于3D打印和CT三维重构数值模拟上呼吸道气流状态的研究方法
- Author:
Yangyang XI
1
;
Jiemin ZHAN
2
;
Jianbo SHI
1
;
Kai LIN
1
;
Wenqing HU
1
;
Jie DENG
2
Author Information
1. Department of Applied Mechanics and Engineering, Sun Yat-Sen University
2. Department of Otolaryngology, the First Affiliated Hospital, Sun Yat-Sen University
- Publication Type:Journal Article
- Keywords:
upper respiratory tract;
three-dimensional (3D) reconstruction;
three-dimensional (3D) printing;
physic experiment;
computational fluid dynamics (CFD)
- From:
Journal of Medical Biomechanics
2020;35(3):E289-E295
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a comprehensive method combining physical model experiment and numerical simulation for studying airflow state of upper respiratory tract. Methods Based on CT medical images published online, a three-dimensional (3D) model of human upper respiratory tract was reconstructed. Based on 3D printing technology, an experimental model of the upper respiratory tract was established and the flow process of respiration was measured. A numerical simulation model was created based on the meshing of upper respiratory tract model and the turbulent Realizable k-ε model. Results Firstly, the result of numerical simulation was compared with the experimental conditions, and good agreement was achieved. The numerical simulation results showed that the airflow in respiratory process was in a parabolic shape; the distribution of flow field, pressure on wall and vortex structure were different between inspiratory and expiratory phases; there were air residues in the upper and lower nasal passages during the respiratory exchange process. In addition, the effects of airflow on physiological environment of the upper respiratory tract were preliminarily analyzed through the steak line, pressure field and vortex structure distribution. Conclusions The method proposed in this paper has the characteristics of pertinence, rapidity and accuracy, which gives full play to the advantages of reliable physical experiments and fine numerical simulation, and is applicable for studying different problems of the upper respiratory tract in different cases, with a high value for personalized diagnosis and treatment in clinic.
